Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3148  0.0043  0.0642  0.1535  0.2941  0.21
Anderszewski 2003   83  0.2080  0.0083  0.0379  0.0358  0.0582  0.04
Ashkenazy 1981   62  0.2947  0.0064  0.0461  0.0460  0.0670  0.05
Bacha 2000   81  0.2268  0.0080  0.0287  0.0246  0.0774  0.04
Badura 1965   61  0.2981  0.0053  0.0459  0.0425  0.4452  0.13
Barbosa 1983   71  0.2582  0.0076  0.0373  0.0348  0.0769  0.05
Biret 1990   65  0.2740  0.0072  0.0465  0.0438  0.3359  0.11
Blet 2003   57  0.3164  0.0069  0.0372  0.0356  0.0683  0.04
Block 1995   14  0.4941  0.0020  0.1016  0.5820  0.5421  0.56
Blumental 1952   85  0.1985  0.0082  0.0382  0.0356  0.0585  0.04
Boshniakovich 1969   16  0.488  0.018  0.269  0.669  0.689  0.67
Brailowsky 1960   31  0.4124  0.0027  0.1025  0.494  0.7117  0.59
Bunin 1987   74  0.2583  0.0060  0.0552  0.0554  0.0671  0.05
Bunin 1987b   72  0.2569  0.0059  0.0370  0.0355  0.0678  0.04
Chiu 1999   15  0.4816  0.0019  0.1119  0.5527  0.4627  0.50
Cohen 1997   32  0.4125  0.0033  0.0837  0.3412  0.5929  0.45
Cortot 1951   7  0.5512  0.017  0.2611  0.641  0.797  0.71
Csalog 1996   21  0.459  0.0130  0.0835  0.3511  0.5828  0.45
Czerny 1949   82  0.2155  0.0086  0.0455  0.0441  0.2760  0.10
Czerny 1990   75  0.2557  0.0075  0.0378  0.0348  0.0872  0.05
Duchoud 2007   34  0.4014  0.0022  0.0922  0.5014  0.5525  0.52
Ezaki 2006   33  0.4031  0.0026  0.1024  0.5017  0.6320  0.56
Falvay 1989   70  0.2578  0.0063  0.0469  0.0454  0.0575  0.04
Farrell 1958   44  0.3451  0.0047  0.0546  0.0522  0.4349  0.15
Ferenczy 1958   73  0.2537  0.0074  0.0468  0.0428  0.6345  0.16
Fliere 1977   5  0.5810  0.015  0.283  0.7613  0.765  0.76
Fou 1978   36  0.4033  0.0037  0.1136  0.3524  0.4236  0.38
Francois 1956   50  0.3258  0.0049  0.0547  0.0525  0.5247  0.16
Friedman 1923   12  0.5044  0.0018  0.1512  0.6413  0.7111  0.67
Friedman 1923b   13  0.4984  0.0017  0.1210  0.6415  0.7010  0.67
Friedman 1930   22  0.4436  0.0024  0.1026  0.4923  0.5923  0.54
Garcia 2007   35  0.4021  0.0032  0.0734  0.3620  0.4535  0.40
Garcia 2007b   88  0.1086  0.0088  0.0376  0.0360  0.0586  0.04
Gierzod 1998   64  0.2756  0.0052  0.0460  0.0427  0.4251  0.13
Gornostaeva 1994   6  0.564  0.026  0.234  0.763  0.821  0.79
Groot 1988   39  0.3646  0.0039  0.0939  0.2758  0.0653  0.13
Harasiewicz 1955   10  0.5120  0.0014  0.128  0.666  0.6214  0.64
Hatto 1993   53  0.3287  0.0066  0.0384  0.0361  0.0773  0.05
Hatto 1997   56  0.3142  0.0061  0.0374  0.0349  0.0684  0.04
Horowitz 1949   42  0.3549  0.0046  0.0456  0.0438  0.3057  0.11
Indjic 1988   79  0.2365  0.0079  0.0386  0.0363  0.0681  0.04
Kapell 1951   45  0.3452  0.0048  0.0548  0.0541  0.1362  0.08
Kissin 1993   84  0.1966  0.0084  0.0383  0.0356  0.0768  0.05
Kushner 1989   49  0.3359  0.0051  0.0551  0.0543  0.1461  0.08
Luisada 1991   67  0.2663  0.0077  0.0375  0.0352  0.0764  0.05
Lushtak 2004   47  0.3438  0.0055  0.0458  0.0420  0.3855  0.12
Malcuzynski 1961   43  0.3562  0.0050  0.0553  0.0565  0.0565  0.05
Magaloff 1978   3  0.592  0.142  0.196  0.736  0.736  0.73
Magin 1975   87  0.1370  0.0087  0.0385  0.0370  0.0487  0.03
Michalowski 1933   51  0.3273  0.0062  0.0377  0.0366  0.0680  0.04
Milkina 1970   86  0.1688  0.0081  0.0288  0.0257  0.0588  0.03
Mohovich 1999   11  0.5111  0.019  0.177  0.674  0.748  0.70
Moravec 1969   66  0.2722  0.0041  0.0743  0.1438  0.1844  0.16
Morozova 2008   27  0.426  0.0111  0.1218  0.5715  0.5222  0.54
Neighaus 1950   4  0.5823  0.004  0.222  0.812  0.753  0.78
Niedzielski 1931   54  0.3179  0.0067  0.0381  0.0357  0.0677  0.04
Ohlsson 1999   20  0.4629  0.0023  0.1027  0.4622  0.4131  0.43
Osinska 1989   2  0.613  0.033  0.205  0.744  0.804  0.77
Pachmann 1927   9  0.527  0.0112  0.1113  0.6215  0.6912  0.65
Paderewski 1930   63  0.2774  0.0070  0.0463  0.0454  0.0667  0.05
Perlemuter 1992   19  0.4650  0.0013  0.1117  0.589  0.7013  0.64
Pierdomenico 2008   17  0.4718  0.0029  0.0730  0.4310  0.6126  0.51
Poblocka 1999   23  0.4445  0.0015  0.1320  0.536  0.6318  0.58
Rabcewiczowa 1932   40  0.3660  0.0042  0.0740  0.1822  0.6137  0.33
Rachmaninoff 1923   41  0.3528  0.0028  0.0733  0.3822  0.5030  0.44
Rangell 2001   18  0.475  0.0210  0.1215  0.583  0.6716  0.62
Richter 1976   8  0.5217  0.0016  0.1314  0.6030  0.6415  0.62
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   29  0.4235  0.0025  0.0923  0.5012  0.6419  0.57
Rosenthal 1931   69  0.2613  0.0057  0.0466  0.0427  0.5450  0.15
Rosenthal 1931b   60  0.2967  0.0071  0.0550  0.0523  0.5246  0.16
Rosenthal 1931c   37  0.3819  0.0038  0.1238  0.2813  0.5933  0.41
Rosenthal 1931d   68  0.2675  0.0058  0.0371  0.0317  0.5256  0.12
Rossi 2007   77  0.2526  0.0068  0.0380  0.0315  0.4554  0.12
Rubinstein 1939   80  0.2376  0.0085  0.0467  0.0460  0.0576  0.04
Rubinstein 1952   59  0.2939  0.0044  0.0644  0.1336  0.2543  0.18
Rubinstein 1966   25  0.4330  0.0036  0.1129  0.4322  0.3734  0.40
Schilhawsky 1960   78  0.2471  0.0073  0.0454  0.0436  0.2858  0.11
Shebanova 2002   24  0.4353  0.0034  0.0828  0.4444  0.1838  0.28
Smith 1975   48  0.3377  0.0056  0.0549  0.0526  0.4448  0.15
Sokolov 2002   46  0.3434  0.0045  0.0545  0.1016  0.4640  0.21
Sztompka 1959   28  0.4243  0.0031  0.0631  0.4226  0.4132  0.41
Tomsic 1995   76  0.2561  0.0078  0.0462  0.0463  0.0579  0.04
Uninsky 1932   26  0.4332  0.0035  0.0932  0.4042  0.1839  0.27
Uninsky 1971   30  0.4115  0.0021  0.1121  0.518  0.5524  0.53
Wasowski 1980   38  0.3827  0.0040  0.0841  0.1741  0.2342  0.20
Zak 1937   52  0.3289  0.0054  0.0464  0.0445  0.1263  0.07
Zak 1951   58  0.3054  0.0065  0.0457  0.0450  0.0666  0.05
Average   1  0.671  0.651  0.641  0.906  0.672  0.78
Random 1   89  0.0072  0.0089  0.0289  0.0253  0.0489  0.03
Random 2   90  -0.0690  0.0090  0.0190  0.0177  0.0391  0.02
Random 3   91  -0.0791  0.0091  0.0191  0.0143  0.0990  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).